About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will build a quantum computer and develop quantum applications and algorithms that require many experiments which generate a lot of data as the data services and simulations team creates and maintains the infrastructure that stores and serves this data.

In this role, you will develop and maintain the infrastructure that stores data from experiments as well as the parameters needed to configure the quantum processors. You will maintain existing services for storing experimental data sets as well as processor parameters. In addition, the candidate will participate in design and implementation of next-generation storage for early fault-tolerant quantum devices.The full potential of quantum computing will be unlocked with a large-scale computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and implement features useful for next-generation data storage.

• Sustain existing data services, ensuring high throughput and low latency for internal users.

• Perform bug triage, business-hours on-call, and participate in team meetings.

• Strengthen testing and tooling, and develop internal documentation for data services.

• Optimize the performance and maintainability of the code base by diagnosing bottlenecks, refactoring, and applying targeted revisions.

Minimum qualifications

• Bachelor’s degree in a technical field or equivalent practical experience.

• 3 years of software development experience, or 1 year with an advanced degree.

• 1 year of experience programming in Python and Kotlin.

Preferred qualifications

• Experience in building libraries and frameworks for research or highly technical areas.

• Experience working with scientific computing, research code or 'labware'.

• Experience in one or more of the following skills: C++, git, pybind11, Cirq, numpy, scipy, pandas, protocol buffers, Kubernetes, gRPC, and OAuth.

• Experience in Google Cloud Platform or equivalent cloud services such as Spanner, Cloud Run, Google Kubernetes Engine, and other Google Cloud Platform APIs.

• Ability to demonstrate interest or enthusiasm in the field of quantum computing.

• Ability to write in English fluently.